Yichuan Li

Applied Scientist at Amazon

Seattle, Washington, United States
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Summary

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Senior
🎓
Top School
Yichuan Li is an Applied Scientist based in Seattle with nine years of experience bridging academic research and production ML at Amazon and leading research labs. Currently contributing to Amazon Rufus, he has a track record of designing knowledge-enhanced pre-trained language models that improve entity-centric tasks such as NER, relation extraction and reading comprehension. His background includes PhD-level research at Worcester Polytechnic Institute, industry internships at Microsoft and Amazon focused on prompt learning and few-shot classification, and practical recommender-system work from an earlier algorithm engineering role. Comfortable moving models from research to product, he combines deep NLP expertise with hands-on system-building and a history of teaching and mentoring graduate students. An understated strength is his pattern of returning to Amazon across multiple engagements, indicating strong impact and trust in production ML settings.
code10 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, computer science, Master's degree, computer science at Arizona State University
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Worcester Polytechnic Institute
bookBachelor's degree, Computer Science, 3.4/4.0, Bachelor's degree, Computer Science, 3.4/4.0 at Central China Normal University
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Github Skills (88)

social-media10
artificial-intelligence10
fine-tuning9
ai9
nlp9
hyperparameter-tuning9
transformers9
python9
deep-learning9
lora9
quantization9
sequence-to-sequence9
pytorch9
large-language-models9
machine-learning9

Programming languages (5)

JavaC++ScalaJupyter NotebookPython

Github contributions (5)

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bigheiniu/answerSelection

Jan 2019 - Mar 2019

Contributions:51 commits in 1 month
MetaCOVID: META-Coronavrius dataset repository
Contributions:49 commits, 47 pushes, 1 branch in 1 year 1 month
datasetsocial-medianews-reportsmisinformation
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